Evaluation of different methods of merging SPOT MLA and PLA data for urban landuse mapping
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The present study evaluates four methods of merging SPOT MLA and PLA data; namely Determinant analysis, Principal Component analysis, Hue-Saturation-Intensity (HSI) analysis and Filtering analysis. The test area is 5 km × 5 km window over Jodhpur city and its environs. SPOT MLA and PLA data acquired within one week in Nov. 1990 were used in the analysis. The results were evaluated using both visual and statistical comparison amongst the outputs. Filtering analysis produced the best results both from visual and statistical point of view and determinant analysis ranked closely second. Comparatively HSI method distorted the spectral characteristics more but visually the output was better than that of PC. The results are applicable for urban landuse mapping and need to be tested for other themes as well.
KeywordsPrinciple Component Analysis Principle Component Vacant Land Minor Road Determinant Analysis
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